Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This Splunk query analyzes web logs to identify and categorize user agents, detecting various types of c2 frameworks. This activity can signify malicious actors attempting to interact with hosts on the network using known default configurations of command and control tools.
This Splunk query analyzes web access logs to identify and categorize non-browser user agents, detecting various types of security tools, scripting languages, automation frameworks, and suspicious patterns. This activity can signify malicious actors attempting to interact with web endpoints in non-standard ways.
Detects network activity associated with the TA419 threat group's 'Frameless' Browser-in-the-Browser (BitB) Adversary-in-the-Middle (AitM) phishing campaign. The rules identify unauthorized OAuth2 authorization requests to non-Microsoft hosts that match known malicious client IDs, the delivery of BitB overlay scripts, and the subsequent execution of malicious scripts correlated with OneDrive-themed lookalike redirects, indicating a credential theft attempt.
Detects an SSL_HANDSHAKE_FAILURE syslog event on a Citrix NetScaler appliance characterized by a DTLSv1.0 client version and a 'Handshake failure-Internal Error' reason. This pattern is indicative of exploitation attempts against CVE-2026-88772, specifically associated with the WHIPSHOT/SLAPSHOT campaign. This is a high-sensitivity precursor signal that should be correlated with system crash events on the appliance for increased confidence.
Detects an exploitation attempt against PoeLLM or LiteLLM MCP test/connection endpoint using a python3 stdio payload that fetches data from port 81.
Detects inbound network connections to NetScaler ADC management console interfaces (nsconfig, NetScaler AAA) from untrusted, external IP addresses. This rule identifies internet-facing exposure of critical management infrastructure, which is a common prerequisite for exploiting vulnerabilities such as CVE-2026-88771.
Detects outbound network traffic associated with the Azazel operation, including connections to identified C2 infrastructure, open directory/upload listeners, domain-specific staging servers, and exfiltration attempts to MEGA cloud storage endpoints.
Detects network exploitation attempts targeting Fortinet FortiOS and FortiProxy vulnerabilities (CVE-2024-55591, CVE-2025-24472) involving authentication bypass via HTTP header manipulation (Forwarded, X-Forwarded-For) and unauthorized access to the /jsconsole endpoint.
This rule detects anomalous outbound SMTP (port 25) traffic originating from a NetScaler ADC or Gateway appliance. Since these appliances have no legitimate business requirement to initiate outbound SMTP communication, such traffic is a strong indicator of post-compromise activity, potentially used for command and control or data exfiltration.
This rule detects HTTP requests containing both Content-Length and Transfer-Encoding headers, which is a technique used in HTTP Request Smuggling attacks. This specific signature targets attempts to exploit CVE-2026-88773 in Citrix NetScaler.
Detects a multi-stage compromise sequence involving anomalous authentication followed by VPN session establishment and a burst of outbound connections from Citrix ADC/Gateway appliances. Tightened to reduce false positives from legitimate admin access, routine VPN sessions, and authorized appliance telemetry/updates.
Detects TLS connections to a specific, potentially adversary-controlled ScreenConnect relay infrastructure endpoint. Adversaries frequently abuse legitimate remote access tools like ScreenConnect for command and control purposes.
Detects potential Cobalt Strike or Sliver command and control (C2) beaconing behavior by analyzing network proxy, firewall, and flow logs for common C2 URI patterns, known malicious JA3/JA3S TLS fingerprints, and consistent periodic communication intervals (low jitter) characteristic of automated beacons.
Detects potential exploitation attempts against CVE-2026-76504, an authentication bypass vulnerability in Cisco Catalyst SD-WAN Manager. The rule monitors web server logs for requests to 'j_security_check' that include URL-encoded characters (specifically %6a, representing 'j'), which is a known pattern used to bypass security filters.
This rule detects potentially malformed or truncated DTLS records on NetScaler appliances, specifically on port 443. The rule looks for packets with a specific record length configuration that may indicate a buffer overflow or other exploitation attempt targeting CVE-2026-88772. The detection logic relies on analyzing the DTLS handshake sequence and packet sizing, and the rule authors recommend correlating these events with SSL_HANDSHAKE_FAILURE (DTLSv1.0, Handshake failure-Internal Error) and appliance crash log entries to confirm potential exploitation.
This rule monitors network traffic from CommonSecurityLog data to detect bidirectional communication between NetScaler appliances and known malicious infrastructure associated with the CVE-2026-88772 campaign, which is indicative of command-and-control activity.
Detects a multi-stage compromise sequence involving anomalous authentication followed by VPN session establishment and a burst of outbound connections from Citrix ADC/Gateway appliances. Tightened to reduce false positives from legitimate admin access, routine VPN sessions, and authorized appliance telemetry/updates.
This rule detects potentially compromised accounts by correlating risky Entra ID sign-ins to Citrix NetScaler with subsequent VPN session establishment followed by rapid, high-volume outbound connection activity from the source IP address. This pattern is indicative of a threat actor using compromised credentials to gain access via VPN and immediately perform internal network scanning or data staging.
Detects the creation or modification of a local NetScaler administrative account with superuser (nsroot-level) privileges via the appliance CLI or management API. This activity is indicative of persistent administrative backdoors potentially established after the exploitation of vulnerabilities such as CVE-2026-88771 or CVE-2026-88772.
This rule monitors NetScaler ADC/Gateway system logs for configuration modifications (save, add, or set commands) that occur outside of a designated maintenance window. Such activities, when performed off-hours, may indicate unauthorized persistence, defense evasion, or configuration tampering following successful exploitation.
This rule detects anomalous GET requests to PHP files within the WordPress themes directory that match the specific pattern used by the DragonForce threat actor for secondary C2 beaconing. The detection identifies requests that lack typical WordPress request indicators like cookies or specific form fields, suggesting non-browser, programmatically generated C2 traffic.
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